• definitely finished

    Feasibility Study on Requirements for Future Digitalization Pathways for the German Social Security Systems

    Based on the successful introduction of the EESSI procedure, the task of the given study is to identify further digitalization potentials in the field of Social Security in Germany. These potentials are identified on the basis of semi-structured interviews with experts familiar with both the EESSI procedure and general topics of digitalization in German Social Security systems. These digitalization potentials show initial pathways that can be considered in the context of a future transformation of Social Security Systems.

    Project status definitely finished
    Project time 01.10.2020- 31.12.2020
    Funding source Nationales E-Government Kompetenzzentrum e.V.
    Project number VKZ 200601
    Keywords Digitalization; Digital Infrastructures; Social Security; Work; Social; eGovernment; Information Systems; Digital Transformation


    Joint Project: smart services for interactive customer experiences in High Street Retailing - project part: Mobile application development for location-based services

    smartmarket² adapts successful strategies from online retailing to high street retailing to create interactive customer experiences. The goal is to strengthen the versatility and the attractiveness of high streets and city centers, and to reinforce the individual business models of local retailers against their common competition with online retailing.

    Project status definitely finished
    Project time 01.03.2017- 30.06.2020
    Website http://www.smartmarketsquare.de
    Funding source Federal Ministry of Education and Research
    Project number 02K15A074
    Keywords Retail; Digitalisation; Customer Experience; Location-based Services; Service Engineering


    Text Mining for Curriculum Design for Multiple Information Systems Disciplines

    The main objectives of this project Text Mining for Curriculum Design​ is to objectify and automate Curriculum Design by using novel data and text mining techniques​. It will be done by deriving a novel semi-automatic, data driven curriculum design process, which is supported by software. In order to assess the proposed process two reference curricula, e.g. one in Data Science and BPM will be designed.

    Project status definitely finished
    Project time 01.10.2017- 30.09.2019
    Website http://www.curriculum-design.uni.li
    Funding source EC - Lifelong Learning Programme: Erasmus+
    Project number 2017-1-LIO1-KA203-000083
    Keywords Topic Modelling; Information Systems; Curriculum Design